首页|Findings in the Area of Networks Reported from Qingdao University (Optimized Injection of Noise In Activation Functions To Improve Generalization of Neural Networks)
Findings in the Area of Networks Reported from Qingdao University (Optimized Injection of Noise In Activation Functions To Improve Generalization of Neural Networks)
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By a News Reporter-Staff News Editor at Network Daily News - Researchfindings on Networks are discussed in a new report. According to news reporting from Qingdao, People’sRepublic of China, by NewsRx journalists, research stated, “This paper proposes a flexible probabilisticactivation function that enhances the training and operation of artificial neural networks by intentionallyinjecting noise to gain additional control over the response of each neuron. During the learning phase, thelevel of injected noise is iteratively optimized by gradient-descent, realizing a form of adaptive stochasticresonance.”
QingdaoPeople’s Republic of ChinaAsiaNetworksNeural NetworksQingdao University
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